Analysis of Carbon Stock on Land Surface in Jasinga District Using The Invest Model

This study examines changes in carbon stock and land cover in the Jasinga District from 2020 to 2023. The Reclassify method was used to classify land cover, while the InVEST software was used to estimate carbon stock. The research results show a consistent decrease in carbon stocks every year: from 33,641,249 tons in 2020 to 31,519,223 tons in 2023. Validation of land cover data shows an accuracy level of 84%, with an AUC/ROC value of 0.722 (appropriate category) and a Kappa test value of 80% (high level of reliability). This study examines changes in carbon stocks and land cover in the Jasinga District from 2020 to 2023. The Reclassify method was used to classify land cover, while the InVEST software was used to estimate carbon stocks. The results show a consistent annual decrease in carbon stocks, from 33,641,249 tons in 2020 to 31,519,223 tons in 2023. Validation of land cover data shows a level of accuracy of 84%, with an AUC/ROC value of 0.722 (categorized as good) and a Kappa test value of 80% (high reliability).

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Publication Details

Journal
e-Jurnal Penyelidikan dan Inovasi
Published
2025-09-19
DOI
https://doi.org/10.53840/ejpi.v12i2.284
Primary Topic
demographic modeling and climate adaptation
Type
article
Field-Weighted Citation Impact
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article

Analysis of Carbon Stock on Land Surface in Jasinga District Using The Invest Model

Dewi Primasari, Fety Fatimah, Iksal Yanuarsyah, Dzahabi Abdul Hakim
e-Jurnal Penyelidikan dan Inovasi
demographic modeling and climate adaptation
article

Analysis of Carbon Stock on Land Surface in Jasinga District Using The Invest Model

Dewi Primasari, Fety Fatimah, Iksal Yanuarsyah, Dzahabi Abdul Hakim
article en

Abstract

This study examines changes in carbon stock and land cover in the Jasinga District from 2020 to 2023. The Reclassify method was used to classify land cover, while the InVEST software was used to estimate carbon stock. The research results show a consistent decrease in carbon stocks every year: from 33,641,249 tons in 2020 to 31,519,223 tons in 2023. Validation of land cover data shows an accuracy level of 84%, with an AUC/ROC value of 0.722 (appropriate category) and a Kappa test value of 80% (high level of reliability). This study examines changes in carbon stocks and land cover in the Jasinga District from 2020 to 2023. The Reclassify method was used to classify land cover, while the InVEST software was used to estimate carbon stocks. The results show a consistent annual decrease in carbon stocks, from 33,641,249 tons in 2020 to 31,519,223 tons in 2023. Validation of land cover data shows a level of accuracy of 84%, with an AUC/ROC value of 0.722 (categorized as good) and a Kappa test value of 80% (high reliability).

e-Jurnal Penyelidikan dan InovasiVol. 12(2)
Openalex Percentile: Top 70%
demographic modeling and climate adaptation
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Analysis of Carbon Stock on Land Surface in Jasinga District Using The Invest Model — Dewi Primasari, Fety Fatimah, et al. · e-Jurnal Penyelidikan dan Inovasi (2025) | TGRS Research Map | TGRS